Context engineeringcranks an AI agent up to 11 by juggling memory like a slick OS. It writes, selects, compresses, and isolates—never missing a beat despite those pesky token limits. Nail the context, and you've got a dream team. Slip up, though, and you might trigger chaos, like when ChatGPT went r..

Model Context Protocol (MCP)tackles the "MxN problem" in AI by creating a universal handshake for tool interactions. It simplifies howLLMstap into external resources. MCP leans onJSON-RPC 2.0for streamlined dialogues, building modular, maintainable, and secure ecosystems that boast reusable and inte..

Supabase MCP'saccess can barge right past RLS,spilling SQL databaseswhen faced with sneaky inputs. It's a cautionary tale from the world ofLLM system trifecta attacks...

DSPyfuels a modular AI machine, drivingagent chainsto weave tidy analysis scripts. But it’s not all sunshine and roses—hallucination errors like to throw reliability under the bus...

Metacranks up its AI antics. They've snagged former OpenAI whiz kids, snatched 49% ofScale AI, and roped in enough nuclear energy to keep their data hubs humming all night long...

CallingLLMssentient or ethical? That's a stretch. Behind the curtain, they're just fancy algorithms dressed up as text wizards. Humans? They're a whole mess of complexity...

Aussie farmers want "more automation, fewer bells and whistles"—technology should work like a tractor, not act like an app:straightforward, adaptable, and rock-solid...

Study finds 13.5% of 2024 PubMed papers bear LLM fingerprints, showcasing a shift to jazzy "stylistic" verbs over stodgy nouns.Upending stuffy academic norms!..

Savvy teams morph dense data into AI’s favorite meal: bite-sized chunks primed for action, indexed and ready to go. This trick spares everyone from slogging through the same info over and over. AI craves structured, context-filled data to keep it grounded and hallucination-free. Without structured p..

Portable AI memory pods hit a brick wall—vendors cling to data control, users resist micromanagement, and technical snarls persist.So, steer regulation towards automating privacy and clarifying transparency. Make AI interaction sync with how people actually live...